Book review — errata
Remarks on “Hands on Quantum ML with Python vol1”
to get the most out of the book.
First and foremost, I’d like to acknowledge how critical books such as “Hands on Quantum Machine Learning with Python” by Frank Zickert | Quantum Machine Learning are and laud him for the efforts he put in learning the subject. I backed his kickstarter myself, read the book with anticipation and enjoyed how it focused my reading on the subject. As he mentions in his book, it is very easy to get lost in publications and articles. It is fantastic to have resources that are curated to learning the subject, not advancing it. As a theoretical physicist and mathematician by training, I can attest how difficult it is to read research papers and how impermeable a lot of the jargon is. So I am very happy that this book exists.
There is a great need for accessible books on the subject of quantum physics, and what a great way to use Machine Learning/AI/Data Science to start!
I realize this claim differs from the book’s goal, which is to help ML practitioners or software engineers dip their toes into QML. But as the current Quantum Computing field is very transient, with many competing approaches and paradigms…
